Filter Records

Adapted from Gradio Playground.

import gradio as gr
import pandas as pd

# Create sample data
sample_data = pd.DataFrame([
    ["John", 25, "M"],
    ["Sarah", 30, "F"], 
    ["Alex", 35, "O"],
    ["Emma", 28, "F"],
    ["Michael", 42, "M"]
], columns=["name", "age", "gender"])

def filter_records(records, gender):
    return records[records["gender"] == gender]


demo = gr.Interface(
    filter_records,
    [
        gr.Dataframe(
            headers=["name", "age", "gender"],
            datatype=["str", "number", "str"],
            value=sample_data.values.tolist(),
            row_count=5,
            col_count=(3, "fixed"),
            interactive=True
        ),
        gr.Dropdown(["M", "F", "O"], value="M"),
    ],
    "dataframe",
    description="Enter gender as 'M', 'F', or 'O' for other.",
    flagging_mode="never",
)

if __name__ == "__main__":
    demo.launch()

import gradio as gr import pandas as pd # Create sample data sample_data = pd.DataFrame([ ["John", 25, "M"], ["Sarah", 30, "F"], ["Alex", 35, "O"], ["Emma", 28, "F"], ["Michael", 42, "M"] ], columns=["name", "age", "gender"]) def filter_records(records, gender): return records[records["gender"] == gender] demo = gr.Interface( filter_records, [ gr.Dataframe( headers=["name", "age", "gender"], datatype=["str", "number", "str"], value=sample_data.values.tolist(), row_count=5, col_count=(3, "fixed"), interactive=True ), gr.Dropdown(["M", "F", "O"], value="M"), ], "dataframe", description="Enter gender as 'M', 'F', or 'O' for other.", flagging_mode="never", ) if __name__ == "__main__": demo.launch()